Projects & Portfolio

Dynamic BI dashboard analyzing £2.30M in sales and £286K in profits. Implemented drill-down functionality revealing regional trends, optimal discount strategies, and seasonal peaks for marketing decisions.

Comprehensive Power BI dashboard analyzing global electronics sales. Identified top-performing categories, seasonal spikes, and online vs in-store trends to inform strategic growth opportunities.

Robust book recommendation system using collaborative filtering and transformer architectures. Performed thorough quality checks on Bookcrossing dataset, refined through model experimentation.

Predictive model assessing term deposit likelihood for bank clients. Compared Logistic Regression, XGBoost, MLP, SVM, and Random Forest using stratified K-Fold validation and dimensionality reduction.

Six-week sales forecast for 1,100+ Rossmann stores across Germany. Engineered temporal features for promotional periods and seasonal trends, enhancing inventory and staffing decisions.

Machine learning recommendation system for Zimnat analyzing 40,000+ customers. Devised reliable cross-selling predictions based on demographic factors and purchasing behavior patterns.

Trend analysis of WeRateDog Twitter dataset. Corrected data quality issues, executed detailed transformations and visualizations to uncover meaningful social media engagement patterns.

Investigation of student performance factors. Extracted 29 key indicators from 600+ features, employed multivariate visualization to examine parental engagement effects on outcomes.

Exploration of comprehensive movies database trends. Drafted eight research questions, performed extensive cleaning, and presented results through diverse visualizations yielding in-depth insights.

Scrapy-based crawler for streamlined Punch news collection. Captures titles, content, and links with Scrapyhub deployment capability, storing data in multiple formats for analysis.

Scrapy framework gathering user-submitted names from behindthename.com worldwide. Expanded from Eastern Africa to all countries, compiling structured dataset of cultural naming trends.

Examination of water usage and tap flow rates across locations. Delivered flexible module-based framework supporting evidence-based decision-making in resource management and conservation.